DocumentCode
3096859
Title
Optimal Coordinate Design of Multiple HVDC Modulation Controllers based on MIMO System Identification
Author
Lu, Chao ; Li, Licheng ; He, Jingbo ; Wu, Xiaochen ; Li, Peng
Author_Institution
Dept. of Electr. Eng., Tsinghua Univ., Beijing
fYear
2007
fDate
24-28 June 2007
Firstpage
1
Lastpage
6
Abstract
Low frequency oscillation is becoming a serious bottleneck limiting power system stability enhancement, especially in the conditions of interconnections of regional networks. Because of the global properties, most of the units are involved in this problem. The controllers of these devices must be designed coordinately. In this paper, an optimal controller design approach is proposed for the applications in large scale power system. A special injection signal is used to excite the dynamics in certain frequency range, and then prediction error method (PEM) is employed to identify the reduced order system based on multiple inputs and outputs. Traditional optimal control techniques are improved to include the lead-lag blocks, so the popular supplementary damping controllers are compatible. Finally, this approach is applied in the design of two HVDC modulation controllers in China Southern Grid, and the results demonstrate the advantages.
Keywords
HVDC power transmission; MIMO systems; control system synthesis; optimal control; power grids; power system interconnection; power system stability; power transmission control; China Southern grid; HVDC modulation controllers; MIMO system identification; injection signal; lead-lag blocks; multiple input-multiple output system; network interconnections; optimal controller design approach; optimal coordinate design; power system stability enhancement; prediction error method; supplementary damping controllers; Control systems; Frequency; HVDC transmission; Large-scale systems; MIMO; Optimal control; Power system dynamics; Power system interconnection; Power system stability; System identification; coordinate control; optimal control; power system stability; prediction error method (PEM);
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location
Tampa, FL
ISSN
1932-5517
Print_ISBN
1-4244-1296-X
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2007.385826
Filename
4275592
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